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Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data., , , , , and . ISD, Universitat Politècnica de València / Association for Information Systems, (2021)Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification., , , and . Pattern Recognit. Lett., (2020)An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods., , , and . ICCCI, volume 12876 of Lecture Notes in Computer Science, page 560-571. Springer, (2021)SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia., , , , , , , and . IGARSS, page 7803-7806. IEEE, (2022)Machine learning for food security: current status, challenges, and future perspectives., , and . Artif. Intell. Rev., 56 (Supplement 3): 3853-3876 (December 2023)Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting., , , , and . Comput. Geosci., (October 2023)Combining deep learning methods and multi-resolution analysis for drought forecasting modeling., , , and . Earth Sci. Informatics, 16 (2): 1811-1820 (June 2023)Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review., , , and . Ecol. Informatics, (2022)Soil Moisture Estimation From Smap Observations Using Long Short- Term Memory (LSTM)., , and . IGARSS, page 1590-1593. IEEE, (2019)A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data., , and . ISDA (2), volume 715 of Lecture Notes in Networks and Systems, page 21-30. Springer, (2022)